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Distributed Generation Capacity Planning for Distribution Networks to Minimize Energy Loss: An Unbalanced Multi-Phase Optimal Power Flow Based Approach

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posted on 2016-02-12, 00:00 authored by A Anwar, Apel MahmudApel Mahmud, J Hossain, H Pota
This chapter presents an unbalanced multi-phase optimal power flow (UMOPF) based planning approach to determine the optimum capacities of multiple distributed generation units in a distribution network. An adaptive weight particle swarm optimization algorithm is used to find the global optimum solution. To increase the efficiency of the proposed scheme, a co-simulation platform is developed. Since the proposed method is mainly based on the cost optimization, variations in loads and uncertainties within DG units are also taken into account to perform the analysis. An IEEE 123 node distribution system is used as a test distribution network which is unbalanced and multi-phase in nature, for the validation of the proposed scheme. The superiority of the proposed method is investigated through the comparisons of the results obtained that of a Genetic Algorithm based OPF method. This analysis also shows that the DG capacity planning considering annual load and generation uncertainties outperform the traditional well practised peak-load planning.

History

Title of book

Handbook of Research on Emerging Technologies for Electrical Power Planning, Analysis, and Optimization

Chapter number

5

Pagination

76 - 95

Publisher

Engineering Science Reference

Place of publication

Hershey, Pa.

ISBN-13

9781466699120

ISBN-10

1466699116

Language

Eng

Publication classification

B Book chapter; B1 Book chapter

Copyright notice

2016, Engineering Science Reference

Extent

19

Editor/Contributor(s)

S Shandilya, S Shandilya, T Thakur, A Nagar

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